Giter VIP home page Giter VIP logo

pyspark-k-means-clustering-ml's Introduction

PySpark with K-means-Clustering

This jupyter notebook consists a project which implemets K mean clustering with PySpark. Meta data of each session showed that the hackers used to connect to their servers were found, for system that was breached. This data is used whether to identify whether 2 or 3 hackers were involved of the potential 3 hackers

Tech

  • Jupyter notebook - an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.
  • PySpark
  • Python

Getting started

  1. Git clone the folder to your computer
  2. Run the jupyternote book. ( make sure you have either Anaconda or virtual env running jupyternotebook )
  3. Run each block of code to see what happens at each step.

P.S

Before installing pySpark, make sure you have Java 8 or higher installed on your computer.

-Farhana

pyspark-k-means-clustering-ml's People

Contributors

farhanafayez avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.